Topics include big "O" notation pointers, recursion (induction), and dynamic allocation linked lists and list processing stacks, queues, binary trees and binary search trees simple sorting techniques and simple search techniques. Teaches students to implement common data structures and the algorithms associated with each data structure, through progressively difficult exercises. Prerequisite(s): Mathematics 3, 11A, or 19A, or Applied Math and Statistics 3 or 11A, or Economics 11A, or 40 or higher on the mathematics placement exam). Some prior programming experience in a language such as C, C++, Java, or C# strongly recommended. Students may not receive credit for both this course and course 11. Students who have no or very limited programming experience should consider courses 5J and 11 which cover the same material in two quarters. Topics include: functions conditionals and loops classes event-driven programming and graphic user interfaces (GUIs) recursion and arrays. F,WĪccelerated introduction to programming. Introduction to Programming (Accelerated). Prerequisite(s): course 5J and Mathematics 3, 11A, or 19A, or Applied Mathematics and Statistics 3 or 11A, or Economics 11A, or 40 or higher on mathematics placement exam. Students cannot receive credit this course and course 12A.
The two-quarter sequence courses 5J and 11 cover in two quarters the same material as the accelerated introductory course and lab 12A/L cover in one quarter. Covers basic object-oriented programming, event-driven programming, graphical user interface (GUI) creation, recursion, two-dimensional arrays, and introduces programming in C and Java. (General Education Code(s): MF, IN.) The Staff, P. Major concepts and open problems in computer science are presented without reliance on sophisticated mathematical tools. No programming skills are required as a prerequisite. Topics include algorithms and data, correctness and efficiency of algorithms, hardware, programming languages, limitations of computation, applications, and social issues. F,W,SĪn overview of the theory, foundations, and practice of computer science with emphasis on what computers can and cannot do, now and in the future. This course and courses 5C and 5J cover largely the same material, but use different programming languages. Students write medium-sized programs to solve web-based and scientific problems. Introduces students to computers, programming tools, and editors. Students learn programming and documentation skills, as well as algorithmic problem-solving and programming methodologies. Introduction to programming for engineering or science students who have no prior programming experience. (Formerly course 60G.) (General Education Code(s): MF, IN.) D. Introduces computers, compilers, and editors. Introductory programming for School of Engineering majors who have no prior programming experience. (Formerly course 60N.) (General Education Code(s): MF, IN.) I. This course and courses 5J and 5P cover the same material, but use different programming languages. Students learn programming and documentation skills as well as algorithmic problem-solving and programming methodologies. Introductory programming for students who have no prior programming experience. (General Education Code(s): PE-T, IN.) The Staff, R. Students cannot receive credit for this course and Computer Engineering 3. Preference is given to students who have not taken other computer engineering or computer science courses. Designed for students with little or no experience using computers. Introduction to programming concepts and computer languages. Computers as symbol manipulation devices.
Topics covered include network information systems, text editors, formatting, file and directory system, spreadsheets and databases.
Making 2d plots paraview how to#
Introduction to how computers work and how to use them. Gender Identity and Sexual Orientation Questions.FAQs for Faculty and Staff: Privacy of Student Records.American History and Institutions Courses.
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